Evidence map›Paper›PMID 38746874›Full record

ArticleDigital health

Reliability of continuous vital sign monitoring in post-operative patients employing consumer-grade fitness trackers: A randomised pilot trial.

Philipp Helmer, Sebastian Hottenrott, Kathrin Wienböker, Rüdiger Pryss, Vasileios Drosos, Anna Katharina Seitz, Daniel Röder, Aleksandar Jovanovic, Jürgen Brugger, Peter Kranke and 3 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Philipp HelmerDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID https://orcid.org/0000-0001-7004-7400
Sebastian HottenrottDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.
Kathrin WienbökerDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.
Rüdiger PryssInstitute for Clinical Epidemiology and Biometry, University Hospital Würzburg, Würzburg, Germany.
Vasileios DrososDepartment of Thoracic and Cardiovascular Surgery, University Hospital Würzburg, Würzburg, Germany.
Anna Katharina SeitzDepartment of Urology and Pediatric Urology, University Hospital Würzburg, Würzburg, Germany.
Daniel RöderDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID https://orcid.org/0000-0001-6805-9330
Aleksandar JovanovicDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.
Jürgen BruggerDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.
Peter KrankeDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.
Patrick MeybohmDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.
Bernd E WinklerDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.
Michael SammethDepartment of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Germany.ORCID https://orcid.org/0000-0002-6528-9883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Fitness trackers can provide continuous monitoring of vital signs and thus have the potential to become a complementary, mobile and effective tool for early detection of patient deterioration and post-operative complications. Methods: To evaluate potential implementations in acute care setting, we included 36 patients after moderate to major surgery in a recent randomised pilot trial to compare the performance of vital sign monitoring by three different fitness trackers (Apple Watch 7, Garmin Fenix 6pro and Withings ScanWatch) with established standard clinical monitors in post-anaesthesia care units and monitoring wards. Results: During a cumulative period of 56 days, a total of 53,197 heart rate (HR) measurements, as well as 12,219 measurements of the peripheral blood oxygen saturation (SpO Conclusion: According to the results of the present study, tracker devices are generally reliable and accurate for HR monitoring, whereas SpO

Indexed as

Apple Watch 7Garmin Fenix 6 proHealth trackersmartwatchwearablesWithings ScanWatch

Identifiers

PMID38746874
PMCPMC11092531

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.